A Comprehensive Survey Of User Profile In The Adaptive Instructional Systems
Corressponding author's email:
tapchikhgkdt@hcmute.edu.vnKeywords:
Adaptive system, e-Learning, adaptive e-Learning system, user profileAbstract
In the teaching-learning context with the support of conzputer — CBT/CAI, the using of user profile will help the system to provide learning materials or learning reconunendations to learners suitably with their abilities and knowledge background. Recently, there have been many researches in study to design and build such adaptive instructional systems. The paper is a comprehensive survey of user profile in the adaptive instructional systems aiming at an analysis f0'mdation for improving and building the Adaptive e-Learning System. From that, the system can be applied for blended-learning environment that is an appropriate learning form to training context (e.g. undergraduate education) in developing countries as Vietnam.
Downloads: 0
References
C. Brooks, J. Greer, E. Melis, C. Ullrich. Combining ITS and eLearning Technologies: Opportunities and Challeneges. 8th International Conference on Intelligent Tutoring Systems (ITS2006), June 26 - June 30, 2006. Jhongli, Taiwan. (2006)
C. Brooks, L. Kettel, C. Hansen. Building a Learning Object Content Management System, World Conference on e-Learning in Corparate, Healthcare & High Education (E-Learn 2005), Canada (2005)
De Bra, P., Aerts, A., Berden, B., De Lange, B., Rousseau, B., Santic, T., smits, D., Stash, N. , 2003. 'AHA! The Adaptive Hypermedia Architecture'. Proceedings of the ACM Hypertext Conference, Nottingham, UK, (pp. 81-84).
Duc-Long Le, An-Te Nguyen , Dinh-Thuc Nguyen and Axel Hunger (2009), Building learner profile in Adaptive e-Learning Systems, Proceedings of the 4th International Conference on e-Learning (ICEL 2009) 15-17, July 2009 , Torronto, Canada. (in English)
F. Mödritscher, V.M. Garcia-Barrios and C. Gütl. The Past, the Present and the future of adaptive E-Learning. In proceedings of the International Conference Interactive Computer Aided Learning (ICL2004)
G. Amato and U.Straccia. User Profile Modeling and Applications to Digital Libraries, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, Volume 1696 (1999)
H. Madhour and M. Wentland Forte. Lausanne Model: Towards An Aham-Based Reference Model For Adaptive Learning Object Systems, Journal (208) Advanced Technology for Learning (2006)
J.Ben Schafer, Joseph Konstan. John Riedl. Recommender Systems in E-Commerce, GroupLens Research Project (1999)
M. Montaner Rigall. Collaborative Recommender Agents based on Case-Based Reasoning and Trust, PhD Thesis in Computer Engineering, University of Girona (2003)
N. Henze, W. Nejdl. Logically Characterizing Adaptive Educational Hypermedia Systems. In Proceeings of International Workshop on Adaptive Hypermedia and Adaptive Web-based Systems (AH'03), pp 15-29 (2003)
N. Koch. Software Engineering for Adaptive Hypermedia Systems. PhD Thesis. Ludwig-Maximillans University Munich, Germany (2000)
P. Brusilovsky. Adaptive hypermedia. User Modeling and User Adapted Interaction, Ten Year Anniversary Issue (Alfred Kobsa, ed.) I I (1/2), 87-110 (2001)
P.Brusilovsky. Methods and Techniques of Adaptive Hypermedia, User Modeling and User-Adapted Interaction, Vol.6, no 2-3, pp 87-129 (1996)
P.Brusilovsky, A. Kobsa, W. Nejdl (Eds). The Adaptive Web, Methods and Strategies of Web Personalization, Springer (2007)
P.Brusilovsky, C. Peylo. Adaptive and Intelligent Web-based Educational Systems. International Journal of Artificial Intelligent in Education 13, pp. 156 - 169 (2003)
P. Brusilovsky, M. T. Maybury (Eds). From adaptive hypermedia to adaptive Web. Communications of the ACM 45 (5), Special Issue on the Adaptive Web, 31-33 (2002)
U.Schroeder, C.Spanagel. Supporting the Active Learning Process , International JI on E-learning, Vol 5(2), pp. 245-264 (2006)
Downloads
Published
How to Cite
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © JTE.
